AQC0583 | NAN-COL000362

Nanopublication — Computational Image Analysis - AQC0583

C minor - Research on Harmony

Claim 1: Computational Image Analysis - AQC0583

Computational analysis of the photograph of the artwork C minor - Research on Harmony (AQC0583) [1] by Arnaud Quercy [2], according to IDS-CMP-2025 [3], on an image 1000 pixels on its longer side, on 2025-10-03. Each colour is located in the Munsell system and named according to the ISCC-NBS system (267 names, National Bureau of Standards, 1976). The image divides into 10 flat areas. The largest are moderate yellowish pink (40%), deep reddish orange (14%) and deep violet (13%). Among the others, those that stand out most sharply from their surroundings are yellowish gray in the centre (0.5%), dark brown at the bottom (13%) and grayish yellow at the bottom (10%). By colour name family: pink 30%, brown 23%, red 17%, violet 12%, orange 7.8%, yellow 5.3% and olive brown 2.2%.

Context

Analysis performed according to IDS-CMP-2025 [3]: (a) colours named by Munsell and ISCC-NBS, areas and flat areas, (b) texture, (c) brightness and contrast, (d) spatial distribution. Source image: 2425x3074 pixels. Analysis date: 2025-10-03.

A) Color Analysis

Flat areas

Ranked by contrast with their surroundings (CIEDE2000). Strokes thinner than 10 pixels are excluded (2).

Rank Colour ISCC-NBS name Munsell Area Contrast Position
1 BEB9AC yellowish gray 0.9GY 7.5/1.0 0.5% 58.5 in the centre
2 270B47 deep violet 0.1P 0.9/7.8 13% 49.9 at the top
3 32100B dark brown 3.8YR 1.1/3.1 13% 47.6 at the bottom
4 A12A0A deep reddish orange 0.1YR 3.7/11.7 14% 34.5 on the left
5 CB908C moderate yellowish pink 6.8R 6.5/5.0 40% 33.6 in the centre
6 B3A282 grayish yellow 2.6Y 6.7/2.6 10% 25.2 at the bottom
7 976E63 light reddish brown 8.8R 4.8/3.5 0.2% 12.7 at the bottom left
8 A56866 grayish red 7.4R 5.0/5.0 8.4% 7.0 at the bottom right
9 B99282 light reddish brown 1.6YR 6.4/3.6 0.2% 2.9 on the right
10 64302F moderate reddish brown 0.1YR 2.7/4.4 0.1% 2.7 at the bottom left

Colour name families

Family Area
pink 30%
brown 23%
red 17%
violet 12%
orange 7.8%
yellow 5.3%
olive brown 2.2%
gray 0.6%

B) Texture Analysis

Metric Value
Global Roughness 0.241
Mean Local Roughness 0.017
Roughness Uniformity 0.019
Edge Density 0.064
Mean Gradient Magnitude 0.126
Gradient Variance 0.033
Gradient Smoothness 0.0
Directional Coherence 0.051
Pattern Complexity 0.138
Pattern Repetition 1.0
Detail Frequency Ratio 0.648
Spatial Variation 0.147
Texture Consistency 0.526

C) Brightness & Contrast Analysis

Metric Value
Mean Brightness 0.441
Brightness Variance 0.241
Brightness Uniformity 0.454
Brightness Skewness -0.294
Brightness Entropy 7.22
Rms Contrast 0.241
Michelson Contrast 1.0
Weber Contrast 0.87
Mean Local Contrast 0.018
Contrast Uniformity 0.0
Dynamic Range 1.0
Effective Dynamic Range 0.682
Shadow Percentage 38.664
Midtone Percentage 42.984
Highlight Percentage 18.352
Shadow Clipping 0.001
Highlight Clipping 0.0
Tonal Balance 0.0
Fine Contrast 0.01
Medium Contrast 0.023
Coarse Contrast None
Multiscale Contrast Ratio 1.0
Edge Contrast 0.126
Contrast Clustering 0.474

D) Spatial Distribution Analysis

Metric Value
Spatial Coherence 0.75
Color Clustering 0.694
Color Transition Smoothness 0.674
Transition Uniformity 0.781
Sharp Transition Ratio 0.1
Transition Directionality 0.058
Mean Saturation 0.52
Saturation Variance 0.077
Low Saturation Ratio 0.285
Medium Saturation Ratio 0.355
High Saturation Ratio 0.36
Saturation Clustering 0.999
Hue Concentration 0.834
Complementary Balance 0.0
Analogous Dominance 0.865
Temperature Bias 0.867

Methodology

Computational analysis of a photograph of the artwork, reduced to 1,000 pixels on its longer side and filtered by a 3×3 median to remove grain. Colours: each pixel (sRGB rounded to 5 bits per channel) receives its Munsell notation and ISCC-NBS name from a table computed once from published data (Munsell renotation; ISCC-NBS blocks, NBS Special Publication 440, 1976), never from the artworks. Flat areas: connected regions of one name, merged with their neighbours while the CIEDE2000 difference between their mean colours stays below 10; an area is kept from 0.05% of the image; contrast with the surroundings measured 4 to 12 pixels from the edge. Texture: intensity standard deviation, local standard deviation, edge density (Canny), local binary patterns. Brightness: mean, variance, RMS, Michelson and local contrast, shadow / midtone / highlight distribution. Distribution: spatial coherence, transitions, saturation. Methods are deterministic and reproducible. Limits: the measurement concerns the photograph, including its lighting and white balance; two neighbouring areas less than 10 apart are merged.

References

  1. [1] Quercy, A. (2024). C minor - Research on Harmony - Catalogue Raisonné. https://arnaudquercy.art/en/catalogue-raisonne/AQC0583.html
  2. [2] Quercy, A. (2025). ORCID https://orcid.org/0009-0000-2662-7790
  3. [3] Quercy, A. (2026). Computational Image Analysis Standard. https://ideamorphism.org/en/measurements/2025/11/ids-cmp-2025-computational-image-analysis-standard-5dq9.html

Epistemic profile

Claim typecomputational analysis
Voicethird person
Epistemic statusempirical measurement
Methodologycomputational analysis
Certaintyhigh

Checksum (SHA-256)

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